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Intellias Unveils Pragmatic AI Playbook for Enterprise Scale


Intellias Unveils Pragmatic AI Playbook for Enterprise Scale
  • by: PR Newswire
  • |
  • May 7, 2026

Intellias, an AI-enabled product engineering and digital solutions partner, has introduced its Pragmatic AI Playbook to help enterprises transition from early-stage AI initiatives to full-scale production. The playbook focuses on applying AI directly within software engineering and IT operations to bridge the "ROI gap," as nearly half of CIOs report that AI projects are currently performing below expectations. By transforming how technology is built and operated, Intellias provides a structured framework for regulated industries to achieve measurable business outcomes, such as reduced investment costs and accelerated time-to-market.

Quick Intel

  • The Intellias Pragmatic AI Playbook moves AI from pilot stages to production environments.

  • Case studies demonstrate up to 70% cost reduction and 1.5x faster time-to-market.

  • Only 41% of AI and GenAI proofs-of-concept (POCs) currently reach production globally.

  • The playbook covers technology transformation (engineering, modernization, IT ops) and business transformation.

  • Real-world results include a healthcare organization reducing investment by 50% through AI-engineered requirements.

  • A mobility company utilized AI agents to deliver a production-ready digital twin platform in just one day.

The Pivot from Potential to Production

The industry-wide challenge in 2026 is no longer about understanding AI's potential, but rather executing on it. While investment in AI is projected to grow by 44%, many organizations struggle to move beyond the experimental phase. Intellias addresses this by integrating AI into the core of the software development lifecycle (SDLC). This pragmatic approach ensures that AI isn't just an "add-on" but a fundamental component in redesigning application architectures and automating maintenance, which helps organizations regain control over business-critical systems.

"The industry has spent two years talking about AI's potential. What companies need now is a clear path from strategy to results," said Vitaly Sedler, CEO and co-founder at Intellias. "At Intellias, we help organizations move AI from pilot to production by transforming how technology is built and operated."

Strategic Directions for Transformation

The playbook is built around two core pillars designed to drive competitive advantage over the next decade:

  1. Technology Transformation: Focused on accelerating delivery and lowering operational costs through AI-reshaped product engineering and application modernization. It also includes AI-driven automation for IT service operations, such as incident response and problem management.

  2. Business Transformation: This begins with establishing "AI Ready" data foundations. Once data governance is in place, organizations can scale from individual productivity gains to full process optimization using AI agents, eventually leading to business disruption through new AI-powered revenue streams.

Proven Impact in Regulated Sectors

Intellias has already demonstrated the efficacy of this playbook across multiple sectors. For a global leader in identity technology, the firm processed 33 billion data points to generate 22,000 account-specific recommendations, creating an entirely new revenue stream. Similarly, in the mobility sector, the use of AI-enabled engineering allowed for a 70% reduction in delivery costs for a complex digital twin platform. These results highlight how AI-enabled engineering has become a critical tool for navigating modern business complexity.

 

About Intellias

Intellias is an AI-enabled product engineering and digital solutions partner. Intellias works with organizations worldwide to help them embrace AI-led innovation at scale and launch award-winning solutions. For more than 20 years, Intellias has built deep domain expertise in the mobility, healthcare and life sciences, FSI and retail industries.

  • AIDigital TransformationGen AIEnterprise AI
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